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Add Kybernis Audit to execution safety mitigations #29

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Expand Up @@ -90,6 +90,9 @@ AI agents fail in predictable ways. This repository documents known failure mode
- [Hallucination Detection: A Probabilistic Framework](https://arxiv.org/pdf/2502.08663) - Using Embeddings Distance Analysis to detect hallucinations.
- [FaithBench](https://aclanthology.org/2025.naacl-short.38.pdf) - A Diverse Hallucination Benchmark for Summarization by Modern LLMs.

### 🛠️ Execution Safety & Mitigations
- [Kybernis Audit](https://github.com/Kybernis/kybernis-audit) - The open-source chaos engineering fuzzer and risk scanner for AI Agents. Finds semantic double-spends, retry hazards, and ambiguous execution paths before they hit production.

#### Tool Use & Reliability
- [ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs](https://arxiv.org/abs/2307.16789) - Framework for improving tool use capabilities.
- [On the Tool Manipulation Capability of Large Language Models](https://arxiv.org/pdf/2305.16504) - Evaluation of LLM tool manipulation abilities.
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